4 papers
Evolutionary Token-Level Prompt Optimization for Diffusion Models
DomÃcio Pereira Neto, João Correia, Penousal Machado
Text-to-image diffusion models exhibit strong generative performance but remain highly sensitive to prompt formulation, often requiring extensive manual trial and error to obtain s…
Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration
DomÃcio Pereira Neto, João Correia, Penousal Machado
Deep diffusion models have revolutionized image generation by producing high-quality outputs. However, achieving specific objectives with these models often requires costly adaptat…
Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
Adriano Vinhas, João Correia, Penousal Machado
The number of studies that combine Evolutionary Machine Learning and self-supervised learning has been growing steadily in recent years. Evolutionary Machine Learning has been show…
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
Adriano Vinhas, João Correia, Penousal Machado
Deep Neural Networks (DNNs) have been successfully applied to a wide range of problems. However, two main limitations are commonly pointed out. The first one is that they require l…